AI: Promise of Productivity or Intensification of Work?

The Illusion of Time Savings with AI

Artificial intelligence is often presented as a revolutionary tool for improving business productivity. However, the time saved through AI is frequently reabsorbed, without being genuinely questioned or identified. This phenomenon reveals a deeper transformation: AI does not simply free up time; it redefines expectations for teams, intensifying work rather than alleviating it.

In recent years, the race for artificial intelligence has emerged as a marker of competitiveness for companies. Every announcement promises productivity gains, every deployment is presented as a lever for efficiency, and every organization seeks to accelerate. But behind this widely shared promise, a much more structural reality is taking hold: the time that AI allows us to save does not disappear. It is immediately reabsorbed, often without being questioned or even identified as such.

An Acceleration Without True Arbitration

In many companies, the time savings offered by AI are immediately used to increase workloads and shorten deadlines. This dynamic, although perceived as improved performance, is based on an imbalance: we accelerate without redefining what is truly important. Thus, AI becomes a tool for intensifying work rather than a lever for transformation.

Harvard Business Review has documented this phenomenon, highlighting that generative AI changes the pace and scope of work without reducing the workload. Employees move faster, take on more topics, and reactivate tasks previously deemed non-priority. This time saved, lacking measurement and discussion, dissolves into the operational flow, fueling an inflation of activity that does not always equate to added value.

The problem is that this saved time remains invisible. It is neither measured, nor discussed, nor arbitrated. It dissolves into the operational flow and fuels an inflation of activity that is not always synonymous with value. This shift is critical, as it establishes a form of false performance, where more is produced without necessarily producing better. In the long run, this model weakens teams, complicates organizations, and reduces the ability to focus on truly strategic issues.

Towards a Strategic Management of Saved Time

To transform saved time into a lever for value creation, it is crucial to move away from this logic of automatic absorption. This begins with making visible the gains generated by AI, a step often underestimated. As long as this additional capacity is not objectified, it cannot be effectively managed and ultimately ends up being captured by low-impact tasks.

However, visibility alone is not enough. It must be accompanied by genuine arbitration work. The freed-up time should be directed towards high-value activities, whether it involves innovation, improving customer experience, streamlining operations, or upskilling teams. Without this direction, AI risks reproducing existing logics instead of transforming them.

Finally, this approach must be continuous. It requires regular management to reassess the use of time, adjust priorities, and support teams in this transition. The challenge is not simply to go faster, but to decide where to concentrate collective effort. Ultimately, artificial intelligence raises less a question of productivity than of strategic discernment. It provides companies with the means to do more, but it primarily compels them to decide what truly deserves to be done. It is in this capacity to arbitrate, far more than in the technology itself, that the competitive advantage of the coming years will be built.